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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 11 Oct 2010 14:41:28 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/11/t12868081559372xolqxinagc9.htm/, Retrieved Fri, 09 May 2025 09:13:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82518, Retrieved Fri, 09 May 2025 09:13:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W41
Estimated Impact213

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2010-02-22 20:36:32] [2fbaf5ccc70c33c9f381ff70d4cbb0a5]
- RMP   [Notched Boxplots] [] [2010-03-01 18:13:27] [2fbaf5ccc70c33c9f381ff70d4cbb0a5]
- RMPD      [Harrell-Davis Quantiles] [Opgave 4; Oefenin...] [2010-10-11 14:41:28] [516d1a4ad1f0b8513272cbee80fe4619] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41086
39690
43129
37863
35953
29133
24693
22205
21725
27192
21790
13253
37702
30364
32609
30212
29965
28352
25814
22414
20506
28806
22228
13971
36845
35338
35022
34777
26887
23970
22780
17351
21382
24561
17409
11514
31514
27071
29462
26105
22397
23843
21705
18089
20764
25316
17704
15548
28029
29383
36438
32034
22679
24319
18004
17537
20366
22782
19169
13807
29743
25591
29096
26482
22405
27044
17970
18730
19684
19785
18479
10698

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 7 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82518&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82518&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82518&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0111059.3484065897991.350605640521
0.0211674.78225892661230.37935213976
0.0312390.69571172121353.82824830105
0.0413104.50209886281402.15421663614
0.0513780.45373203301467.61736618736
0.0614418.05536661171552.58207510521
0.0715021.65227622211598.94164518580
0.0815586.77485814061562.65178352080
0.0916101.31472862811440.58682460262
0.116553.14030344201261.71904227439
0.1116936.68664920081067.56369847615
0.1217255.2495304785895.55882543022
0.1317519.4043359949770.319231899822
0.1417743.5729286899701.121997123637
0.1517942.6188408457683.748556778319
0.1618129.4759351281705.821645094099
0.1718313.9938103834753.0540340243
0.1818502.7282459787813.13380860703
0.1918699.2897031691876.567489014757
0.218904.9333628657936.419353564739
0.2119119.1932937618988.01438681905
0.2219340.46000671541028.46162648322
0.2319566.45905204291056.32875279131
0.2419794.61893472891071.36886882921
0.2520022.33353148211073.95955517490
0.2620247.13535117611064.86200898146
0.2720466.80307651271045.14496745306
0.2820679.42886423751016.06865596881
0.2920883.4673808364979.138464638474
0.321077.7807959141936.211321502927
0.3121261.6845597114889.519434469783
0.3221434.9905166419841.72501271247
0.3321598.0386363085795.735027591683
0.3421751.7069651112754.724283749435
0.3521897.3908142462721.703428349759
0.3622036.9456629775699.57734886182
0.3722172.5927317214690.527435790768
0.3822306.7909256652695.906841231938
0.3922442.0834102571715.975761025028
0.422580.9310873708749.572903183123
0.4122725.5482208239794.55463519756
0.4222877.7567918475847.905425269504
0.4323038.8752445207906.103323075585
0.4423209.6538050712965.61089134156
0.4523390.26278540351023.05992141788
0.4623580.33311724901075.64199829487
0.4723779.04120849471121.23745974102
0.4823985.22459298261158.51129983413
0.4924197.51195806911186.91729883597
0.524414.4514770231206.61986807374
0.5124634.62457925461218.21972712550
0.5224856.73724402061222.78627422587
0.5325079.68608850291221.56947534336
0.5425302.60050221241215.87713300222
0.5525524.86394324181207.10595269668
0.5625746.11714659601196.66028337275
0.5725966.24411694181185.78598161617
0.5826185.33969405361175.78330699272
0.5926403.65664876681167.41156871284
0.626621.53178853821161.24460010690
0.6126839.29471955351157.09053311131
0.6227057.16899496571154.20221910818
0.6327275.18171221381151.07480955972
0.6427493.10203557221145.95376453736
0.6527710.42959717081136.8038163361
0.6627926.44911249321122.17545955824
0.6728140.3580329991101.38109225907
0.6828351.46128795271075.02400326327
0.6928559.41380743411045.15249078615
0.728764.48045991421015.35169792374
0.7128967.7764739702990.534225522678
0.7229171.4501631480976.663092240636
0.7329378.7731490473979.822473221855
0.7429594.10961495251005.67558974559
0.7529822.74380666881058.25221326884
0.7630070.55360735861139.05475072899
0.7730343.52904281911246.58625693503
0.7830647.15121286571375.99438495967
0.7930985.67278256651519.1736162208
0.831361.37668237891665.03966210523
0.8131773.93023653431800.30311075661
0.8232219.98495141081910.64956295551
0.8332693.1784573911982.86456507682
0.8433184.65519651492007.03973757493
0.8533684.12806813841979.13040201783
0.8634181.36959759171902.34340298084
0.8734667.89293181561787.39180081037
0.8835138.5244761261650.97845829136
0.8935592.63410728721512.74945790330
0.936034.96789361461391.99079053831
0.9136476.21051192591305.32036115541
0.9236933.392392811266.71863519572
0.9337429.92230948381287.88365447509
0.9437994.59194846371373.18113188833
0.9538658.92937254441506.46503580400
0.9639452.37727955181643.64889531013
0.9740391.01082922141735.5136063207
0.9841443.63859905881787.20286814423
0.9942459.70690806461881.07324733223

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 11059.3484065897 & 991.350605640521 \tabularnewline
0.02 & 11674.7822589266 & 1230.37935213976 \tabularnewline
0.03 & 12390.6957117212 & 1353.82824830105 \tabularnewline
0.04 & 13104.5020988628 & 1402.15421663614 \tabularnewline
0.05 & 13780.4537320330 & 1467.61736618736 \tabularnewline
0.06 & 14418.0553666117 & 1552.58207510521 \tabularnewline
0.07 & 15021.6522762221 & 1598.94164518580 \tabularnewline
0.08 & 15586.7748581406 & 1562.65178352080 \tabularnewline
0.09 & 16101.3147286281 & 1440.58682460262 \tabularnewline
0.1 & 16553.1403034420 & 1261.71904227439 \tabularnewline
0.11 & 16936.6866492008 & 1067.56369847615 \tabularnewline
0.12 & 17255.2495304785 & 895.55882543022 \tabularnewline
0.13 & 17519.4043359949 & 770.319231899822 \tabularnewline
0.14 & 17743.5729286899 & 701.121997123637 \tabularnewline
0.15 & 17942.6188408457 & 683.748556778319 \tabularnewline
0.16 & 18129.4759351281 & 705.821645094099 \tabularnewline
0.17 & 18313.9938103834 & 753.0540340243 \tabularnewline
0.18 & 18502.7282459787 & 813.13380860703 \tabularnewline
0.19 & 18699.2897031691 & 876.567489014757 \tabularnewline
0.2 & 18904.9333628657 & 936.419353564739 \tabularnewline
0.21 & 19119.1932937618 & 988.01438681905 \tabularnewline
0.22 & 19340.4600067154 & 1028.46162648322 \tabularnewline
0.23 & 19566.4590520429 & 1056.32875279131 \tabularnewline
0.24 & 19794.6189347289 & 1071.36886882921 \tabularnewline
0.25 & 20022.3335314821 & 1073.95955517490 \tabularnewline
0.26 & 20247.1353511761 & 1064.86200898146 \tabularnewline
0.27 & 20466.8030765127 & 1045.14496745306 \tabularnewline
0.28 & 20679.4288642375 & 1016.06865596881 \tabularnewline
0.29 & 20883.4673808364 & 979.138464638474 \tabularnewline
0.3 & 21077.7807959141 & 936.211321502927 \tabularnewline
0.31 & 21261.6845597114 & 889.519434469783 \tabularnewline
0.32 & 21434.9905166419 & 841.72501271247 \tabularnewline
0.33 & 21598.0386363085 & 795.735027591683 \tabularnewline
0.34 & 21751.7069651112 & 754.724283749435 \tabularnewline
0.35 & 21897.3908142462 & 721.703428349759 \tabularnewline
0.36 & 22036.9456629775 & 699.57734886182 \tabularnewline
0.37 & 22172.5927317214 & 690.527435790768 \tabularnewline
0.38 & 22306.7909256652 & 695.906841231938 \tabularnewline
0.39 & 22442.0834102571 & 715.975761025028 \tabularnewline
0.4 & 22580.9310873708 & 749.572903183123 \tabularnewline
0.41 & 22725.5482208239 & 794.55463519756 \tabularnewline
0.42 & 22877.7567918475 & 847.905425269504 \tabularnewline
0.43 & 23038.8752445207 & 906.103323075585 \tabularnewline
0.44 & 23209.6538050712 & 965.61089134156 \tabularnewline
0.45 & 23390.2627854035 & 1023.05992141788 \tabularnewline
0.46 & 23580.3331172490 & 1075.64199829487 \tabularnewline
0.47 & 23779.0412084947 & 1121.23745974102 \tabularnewline
0.48 & 23985.2245929826 & 1158.51129983413 \tabularnewline
0.49 & 24197.5119580691 & 1186.91729883597 \tabularnewline
0.5 & 24414.451477023 & 1206.61986807374 \tabularnewline
0.51 & 24634.6245792546 & 1218.21972712550 \tabularnewline
0.52 & 24856.7372440206 & 1222.78627422587 \tabularnewline
0.53 & 25079.6860885029 & 1221.56947534336 \tabularnewline
0.54 & 25302.6005022124 & 1215.87713300222 \tabularnewline
0.55 & 25524.8639432418 & 1207.10595269668 \tabularnewline
0.56 & 25746.1171465960 & 1196.66028337275 \tabularnewline
0.57 & 25966.2441169418 & 1185.78598161617 \tabularnewline
0.58 & 26185.3396940536 & 1175.78330699272 \tabularnewline
0.59 & 26403.6566487668 & 1167.41156871284 \tabularnewline
0.6 & 26621.5317885382 & 1161.24460010690 \tabularnewline
0.61 & 26839.2947195535 & 1157.09053311131 \tabularnewline
0.62 & 27057.1689949657 & 1154.20221910818 \tabularnewline
0.63 & 27275.1817122138 & 1151.07480955972 \tabularnewline
0.64 & 27493.1020355722 & 1145.95376453736 \tabularnewline
0.65 & 27710.4295971708 & 1136.8038163361 \tabularnewline
0.66 & 27926.4491124932 & 1122.17545955824 \tabularnewline
0.67 & 28140.358032999 & 1101.38109225907 \tabularnewline
0.68 & 28351.4612879527 & 1075.02400326327 \tabularnewline
0.69 & 28559.4138074341 & 1045.15249078615 \tabularnewline
0.7 & 28764.4804599142 & 1015.35169792374 \tabularnewline
0.71 & 28967.7764739702 & 990.534225522678 \tabularnewline
0.72 & 29171.4501631480 & 976.663092240636 \tabularnewline
0.73 & 29378.7731490473 & 979.822473221855 \tabularnewline
0.74 & 29594.1096149525 & 1005.67558974559 \tabularnewline
0.75 & 29822.7438066688 & 1058.25221326884 \tabularnewline
0.76 & 30070.5536073586 & 1139.05475072899 \tabularnewline
0.77 & 30343.5290428191 & 1246.58625693503 \tabularnewline
0.78 & 30647.1512128657 & 1375.99438495967 \tabularnewline
0.79 & 30985.6727825665 & 1519.1736162208 \tabularnewline
0.8 & 31361.3766823789 & 1665.03966210523 \tabularnewline
0.81 & 31773.9302365343 & 1800.30311075661 \tabularnewline
0.82 & 32219.9849514108 & 1910.64956295551 \tabularnewline
0.83 & 32693.178457391 & 1982.86456507682 \tabularnewline
0.84 & 33184.6551965149 & 2007.03973757493 \tabularnewline
0.85 & 33684.1280681384 & 1979.13040201783 \tabularnewline
0.86 & 34181.3695975917 & 1902.34340298084 \tabularnewline
0.87 & 34667.8929318156 & 1787.39180081037 \tabularnewline
0.88 & 35138.524476126 & 1650.97845829136 \tabularnewline
0.89 & 35592.6341072872 & 1512.74945790330 \tabularnewline
0.9 & 36034.9678936146 & 1391.99079053831 \tabularnewline
0.91 & 36476.2105119259 & 1305.32036115541 \tabularnewline
0.92 & 36933.39239281 & 1266.71863519572 \tabularnewline
0.93 & 37429.9223094838 & 1287.88365447509 \tabularnewline
0.94 & 37994.5919484637 & 1373.18113188833 \tabularnewline
0.95 & 38658.9293725444 & 1506.46503580400 \tabularnewline
0.96 & 39452.3772795518 & 1643.64889531013 \tabularnewline
0.97 & 40391.0108292214 & 1735.5136063207 \tabularnewline
0.98 & 41443.6385990588 & 1787.20286814423 \tabularnewline
0.99 & 42459.7069080646 & 1881.07324733223 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82518&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]11059.3484065897[/C][C]991.350605640521[/C][/ROW]
[ROW][C]0.02[/C][C]11674.7822589266[/C][C]1230.37935213976[/C][/ROW]
[ROW][C]0.03[/C][C]12390.6957117212[/C][C]1353.82824830105[/C][/ROW]
[ROW][C]0.04[/C][C]13104.5020988628[/C][C]1402.15421663614[/C][/ROW]
[ROW][C]0.05[/C][C]13780.4537320330[/C][C]1467.61736618736[/C][/ROW]
[ROW][C]0.06[/C][C]14418.0553666117[/C][C]1552.58207510521[/C][/ROW]
[ROW][C]0.07[/C][C]15021.6522762221[/C][C]1598.94164518580[/C][/ROW]
[ROW][C]0.08[/C][C]15586.7748581406[/C][C]1562.65178352080[/C][/ROW]
[ROW][C]0.09[/C][C]16101.3147286281[/C][C]1440.58682460262[/C][/ROW]
[ROW][C]0.1[/C][C]16553.1403034420[/C][C]1261.71904227439[/C][/ROW]
[ROW][C]0.11[/C][C]16936.6866492008[/C][C]1067.56369847615[/C][/ROW]
[ROW][C]0.12[/C][C]17255.2495304785[/C][C]895.55882543022[/C][/ROW]
[ROW][C]0.13[/C][C]17519.4043359949[/C][C]770.319231899822[/C][/ROW]
[ROW][C]0.14[/C][C]17743.5729286899[/C][C]701.121997123637[/C][/ROW]
[ROW][C]0.15[/C][C]17942.6188408457[/C][C]683.748556778319[/C][/ROW]
[ROW][C]0.16[/C][C]18129.4759351281[/C][C]705.821645094099[/C][/ROW]
[ROW][C]0.17[/C][C]18313.9938103834[/C][C]753.0540340243[/C][/ROW]
[ROW][C]0.18[/C][C]18502.7282459787[/C][C]813.13380860703[/C][/ROW]
[ROW][C]0.19[/C][C]18699.2897031691[/C][C]876.567489014757[/C][/ROW]
[ROW][C]0.2[/C][C]18904.9333628657[/C][C]936.419353564739[/C][/ROW]
[ROW][C]0.21[/C][C]19119.1932937618[/C][C]988.01438681905[/C][/ROW]
[ROW][C]0.22[/C][C]19340.4600067154[/C][C]1028.46162648322[/C][/ROW]
[ROW][C]0.23[/C][C]19566.4590520429[/C][C]1056.32875279131[/C][/ROW]
[ROW][C]0.24[/C][C]19794.6189347289[/C][C]1071.36886882921[/C][/ROW]
[ROW][C]0.25[/C][C]20022.3335314821[/C][C]1073.95955517490[/C][/ROW]
[ROW][C]0.26[/C][C]20247.1353511761[/C][C]1064.86200898146[/C][/ROW]
[ROW][C]0.27[/C][C]20466.8030765127[/C][C]1045.14496745306[/C][/ROW]
[ROW][C]0.28[/C][C]20679.4288642375[/C][C]1016.06865596881[/C][/ROW]
[ROW][C]0.29[/C][C]20883.4673808364[/C][C]979.138464638474[/C][/ROW]
[ROW][C]0.3[/C][C]21077.7807959141[/C][C]936.211321502927[/C][/ROW]
[ROW][C]0.31[/C][C]21261.6845597114[/C][C]889.519434469783[/C][/ROW]
[ROW][C]0.32[/C][C]21434.9905166419[/C][C]841.72501271247[/C][/ROW]
[ROW][C]0.33[/C][C]21598.0386363085[/C][C]795.735027591683[/C][/ROW]
[ROW][C]0.34[/C][C]21751.7069651112[/C][C]754.724283749435[/C][/ROW]
[ROW][C]0.35[/C][C]21897.3908142462[/C][C]721.703428349759[/C][/ROW]
[ROW][C]0.36[/C][C]22036.9456629775[/C][C]699.57734886182[/C][/ROW]
[ROW][C]0.37[/C][C]22172.5927317214[/C][C]690.527435790768[/C][/ROW]
[ROW][C]0.38[/C][C]22306.7909256652[/C][C]695.906841231938[/C][/ROW]
[ROW][C]0.39[/C][C]22442.0834102571[/C][C]715.975761025028[/C][/ROW]
[ROW][C]0.4[/C][C]22580.9310873708[/C][C]749.572903183123[/C][/ROW]
[ROW][C]0.41[/C][C]22725.5482208239[/C][C]794.55463519756[/C][/ROW]
[ROW][C]0.42[/C][C]22877.7567918475[/C][C]847.905425269504[/C][/ROW]
[ROW][C]0.43[/C][C]23038.8752445207[/C][C]906.103323075585[/C][/ROW]
[ROW][C]0.44[/C][C]23209.6538050712[/C][C]965.61089134156[/C][/ROW]
[ROW][C]0.45[/C][C]23390.2627854035[/C][C]1023.05992141788[/C][/ROW]
[ROW][C]0.46[/C][C]23580.3331172490[/C][C]1075.64199829487[/C][/ROW]
[ROW][C]0.47[/C][C]23779.0412084947[/C][C]1121.23745974102[/C][/ROW]
[ROW][C]0.48[/C][C]23985.2245929826[/C][C]1158.51129983413[/C][/ROW]
[ROW][C]0.49[/C][C]24197.5119580691[/C][C]1186.91729883597[/C][/ROW]
[ROW][C]0.5[/C][C]24414.451477023[/C][C]1206.61986807374[/C][/ROW]
[ROW][C]0.51[/C][C]24634.6245792546[/C][C]1218.21972712550[/C][/ROW]
[ROW][C]0.52[/C][C]24856.7372440206[/C][C]1222.78627422587[/C][/ROW]
[ROW][C]0.53[/C][C]25079.6860885029[/C][C]1221.56947534336[/C][/ROW]
[ROW][C]0.54[/C][C]25302.6005022124[/C][C]1215.87713300222[/C][/ROW]
[ROW][C]0.55[/C][C]25524.8639432418[/C][C]1207.10595269668[/C][/ROW]
[ROW][C]0.56[/C][C]25746.1171465960[/C][C]1196.66028337275[/C][/ROW]
[ROW][C]0.57[/C][C]25966.2441169418[/C][C]1185.78598161617[/C][/ROW]
[ROW][C]0.58[/C][C]26185.3396940536[/C][C]1175.78330699272[/C][/ROW]
[ROW][C]0.59[/C][C]26403.6566487668[/C][C]1167.41156871284[/C][/ROW]
[ROW][C]0.6[/C][C]26621.5317885382[/C][C]1161.24460010690[/C][/ROW]
[ROW][C]0.61[/C][C]26839.2947195535[/C][C]1157.09053311131[/C][/ROW]
[ROW][C]0.62[/C][C]27057.1689949657[/C][C]1154.20221910818[/C][/ROW]
[ROW][C]0.63[/C][C]27275.1817122138[/C][C]1151.07480955972[/C][/ROW]
[ROW][C]0.64[/C][C]27493.1020355722[/C][C]1145.95376453736[/C][/ROW]
[ROW][C]0.65[/C][C]27710.4295971708[/C][C]1136.8038163361[/C][/ROW]
[ROW][C]0.66[/C][C]27926.4491124932[/C][C]1122.17545955824[/C][/ROW]
[ROW][C]0.67[/C][C]28140.358032999[/C][C]1101.38109225907[/C][/ROW]
[ROW][C]0.68[/C][C]28351.4612879527[/C][C]1075.02400326327[/C][/ROW]
[ROW][C]0.69[/C][C]28559.4138074341[/C][C]1045.15249078615[/C][/ROW]
[ROW][C]0.7[/C][C]28764.4804599142[/C][C]1015.35169792374[/C][/ROW]
[ROW][C]0.71[/C][C]28967.7764739702[/C][C]990.534225522678[/C][/ROW]
[ROW][C]0.72[/C][C]29171.4501631480[/C][C]976.663092240636[/C][/ROW]
[ROW][C]0.73[/C][C]29378.7731490473[/C][C]979.822473221855[/C][/ROW]
[ROW][C]0.74[/C][C]29594.1096149525[/C][C]1005.67558974559[/C][/ROW]
[ROW][C]0.75[/C][C]29822.7438066688[/C][C]1058.25221326884[/C][/ROW]
[ROW][C]0.76[/C][C]30070.5536073586[/C][C]1139.05475072899[/C][/ROW]
[ROW][C]0.77[/C][C]30343.5290428191[/C][C]1246.58625693503[/C][/ROW]
[ROW][C]0.78[/C][C]30647.1512128657[/C][C]1375.99438495967[/C][/ROW]
[ROW][C]0.79[/C][C]30985.6727825665[/C][C]1519.1736162208[/C][/ROW]
[ROW][C]0.8[/C][C]31361.3766823789[/C][C]1665.03966210523[/C][/ROW]
[ROW][C]0.81[/C][C]31773.9302365343[/C][C]1800.30311075661[/C][/ROW]
[ROW][C]0.82[/C][C]32219.9849514108[/C][C]1910.64956295551[/C][/ROW]
[ROW][C]0.83[/C][C]32693.178457391[/C][C]1982.86456507682[/C][/ROW]
[ROW][C]0.84[/C][C]33184.6551965149[/C][C]2007.03973757493[/C][/ROW]
[ROW][C]0.85[/C][C]33684.1280681384[/C][C]1979.13040201783[/C][/ROW]
[ROW][C]0.86[/C][C]34181.3695975917[/C][C]1902.34340298084[/C][/ROW]
[ROW][C]0.87[/C][C]34667.8929318156[/C][C]1787.39180081037[/C][/ROW]
[ROW][C]0.88[/C][C]35138.524476126[/C][C]1650.97845829136[/C][/ROW]
[ROW][C]0.89[/C][C]35592.6341072872[/C][C]1512.74945790330[/C][/ROW]
[ROW][C]0.9[/C][C]36034.9678936146[/C][C]1391.99079053831[/C][/ROW]
[ROW][C]0.91[/C][C]36476.2105119259[/C][C]1305.32036115541[/C][/ROW]
[ROW][C]0.92[/C][C]36933.39239281[/C][C]1266.71863519572[/C][/ROW]
[ROW][C]0.93[/C][C]37429.9223094838[/C][C]1287.88365447509[/C][/ROW]
[ROW][C]0.94[/C][C]37994.5919484637[/C][C]1373.18113188833[/C][/ROW]
[ROW][C]0.95[/C][C]38658.9293725444[/C][C]1506.46503580400[/C][/ROW]
[ROW][C]0.96[/C][C]39452.3772795518[/C][C]1643.64889531013[/C][/ROW]
[ROW][C]0.97[/C][C]40391.0108292214[/C][C]1735.5136063207[/C][/ROW]
[ROW][C]0.98[/C][C]41443.6385990588[/C][C]1787.20286814423[/C][/ROW]
[ROW][C]0.99[/C][C]42459.7069080646[/C][C]1881.07324733223[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82518&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82518&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0111059.3484065897991.350605640521
0.0211674.78225892661230.37935213976
0.0312390.69571172121353.82824830105
0.0413104.50209886281402.15421663614
0.0513780.45373203301467.61736618736
0.0614418.05536661171552.58207510521
0.0715021.65227622211598.94164518580
0.0815586.77485814061562.65178352080
0.0916101.31472862811440.58682460262
0.116553.14030344201261.71904227439
0.1116936.68664920081067.56369847615
0.1217255.2495304785895.55882543022
0.1317519.4043359949770.319231899822
0.1417743.5729286899701.121997123637
0.1517942.6188408457683.748556778319
0.1618129.4759351281705.821645094099
0.1718313.9938103834753.0540340243
0.1818502.7282459787813.13380860703
0.1918699.2897031691876.567489014757
0.218904.9333628657936.419353564739
0.2119119.1932937618988.01438681905
0.2219340.46000671541028.46162648322
0.2319566.45905204291056.32875279131
0.2419794.61893472891071.36886882921
0.2520022.33353148211073.95955517490
0.2620247.13535117611064.86200898146
0.2720466.80307651271045.14496745306
0.2820679.42886423751016.06865596881
0.2920883.4673808364979.138464638474
0.321077.7807959141936.211321502927
0.3121261.6845597114889.519434469783
0.3221434.9905166419841.72501271247
0.3321598.0386363085795.735027591683
0.3421751.7069651112754.724283749435
0.3521897.3908142462721.703428349759
0.3622036.9456629775699.57734886182
0.3722172.5927317214690.527435790768
0.3822306.7909256652695.906841231938
0.3922442.0834102571715.975761025028
0.422580.9310873708749.572903183123
0.4122725.5482208239794.55463519756
0.4222877.7567918475847.905425269504
0.4323038.8752445207906.103323075585
0.4423209.6538050712965.61089134156
0.4523390.26278540351023.05992141788
0.4623580.33311724901075.64199829487
0.4723779.04120849471121.23745974102
0.4823985.22459298261158.51129983413
0.4924197.51195806911186.91729883597
0.524414.4514770231206.61986807374
0.5124634.62457925461218.21972712550
0.5224856.73724402061222.78627422587
0.5325079.68608850291221.56947534336
0.5425302.60050221241215.87713300222
0.5525524.86394324181207.10595269668
0.5625746.11714659601196.66028337275
0.5725966.24411694181185.78598161617
0.5826185.33969405361175.78330699272
0.5926403.65664876681167.41156871284
0.626621.53178853821161.24460010690
0.6126839.29471955351157.09053311131
0.6227057.16899496571154.20221910818
0.6327275.18171221381151.07480955972
0.6427493.10203557221145.95376453736
0.6527710.42959717081136.8038163361
0.6627926.44911249321122.17545955824
0.6728140.3580329991101.38109225907
0.6828351.46128795271075.02400326327
0.6928559.41380743411045.15249078615
0.728764.48045991421015.35169792374
0.7128967.7764739702990.534225522678
0.7229171.4501631480976.663092240636
0.7329378.7731490473979.822473221855
0.7429594.10961495251005.67558974559
0.7529822.74380666881058.25221326884
0.7630070.55360735861139.05475072899
0.7730343.52904281911246.58625693503
0.7830647.15121286571375.99438495967
0.7930985.67278256651519.1736162208
0.831361.37668237891665.03966210523
0.8131773.93023653431800.30311075661
0.8232219.98495141081910.64956295551
0.8332693.1784573911982.86456507682
0.8433184.65519651492007.03973757493
0.8533684.12806813841979.13040201783
0.8634181.36959759171902.34340298084
0.8734667.89293181561787.39180081037
0.8835138.5244761261650.97845829136
0.8935592.63410728721512.74945790330
0.936034.96789361461391.99079053831
0.9136476.21051192591305.32036115541
0.9236933.392392811266.71863519572
0.9337429.92230948381287.88365447509
0.9437994.59194846371373.18113188833
0.9538658.92937254441506.46503580400
0.9639452.37727955181643.64889531013
0.9740391.01082922141735.5136063207
0.9841443.63859905881787.20286814423
0.9942459.70690806461881.07324733223


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')